Deck 9: Hypothesis Tests

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Question
The sum of the values of α\alpha and β\beta

A)always add up to 1.0
B)always add up to 0.5
C)is the probability of Type II error
D)none of these alternatives is correct
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Question
In hypothesis testing, the tentative assumption about the population parameter is

A)the alternative hypothesis
B)the null hypothesis
C)either the null or the alternative
D)None of these alternatives is correct.
Question
A Type II error is committed when

A)a true alternative hypothesis is mistakenly rejected
B)a true null hypothesis is mistakenly rejected
C)the sample size has been too small
D)not enough information has been available
Question
For a lower tail test, the p-value is the probability of obtaining a value for the test statistic

A)at least as small as that provided by the sample
B)at least as large as that provided by the sample
C)at least as small as that provided by the population
D)at least as large as that provided by the population.
Question
The error of rejecting a true null hypothesis is

A)a Type I error
B)a Type II error
C)is the same as β\beta
D)committed when not enough information is available
Question
In hypothesis testing,

A)the smaller the Type I error, the smaller the Type II error will be
B)the smaller the Type I error, the larger the Type II error will be
C)Type II error will not be effected by Type I error
D)the sum of Type I and Ttype II errors must equal to 1
Question
The p-value is a probability that measures the support (or lack of support) for the

A)null hypothesis
B)alternative hypothesis
C)either the null or the alternative hypothesis
D)sample statistic
Question
The critical value of t for a two tail test with 6 degrees of freedom is

A)2.447
B)1.943
C)2.365
D)1.985
Question
The p-value

A)is the same as the Z statistic
B)measures the number of standard deviations from the mean
C)is a distance
D)is a probability
Question
What type of error occurs if you fail to reject H0 when, in fact, it is not true?

A)Type II
B)Type I
C)either Type I or Type II, depending on the level of significance
D)either Type I or Type II, depending on whether the test is one tail or two tail
Question
The level of significance is the

A)maximum allowable probability of Type II error
B)maximum allowable probability of Type I error
C)same as the confidence coefficient
D)same as the p-value
Question
We are interested in conducting a study in order to determine what percentage of voters in a city would vote for the incumbent mayor. What is the minimum size sample needed to estimate the population proportion with a margin of error not exceeding 4% at 95% confidence?

A)625
B)626
C)600
D)601
Question
The power curve provides the probability of

A)correctly accepting the null hypothesis
B)incorrectly accepting the null hypothesis
C)correctly rejecting the alternative hypothesis
D)correctly rejecting the null hypothesis
Question
The p-value

A)can be any value
B)can be any positive value
C)can be any value, negative or positive
D)must be a number between zero and 1
Question
An assumption made about the value of a population parameter is called a

A)hypothesis
B)conclusion
C)confidence
D)significance
Question
In hypothesis testing if the null hypothesis is rejected,

A)no conclusions can be drawn from the test
B)the alternative hypothesis is true
C)the data must have been accumulated incorrectly
D)the sample size has been too small
Question
The level of significance in hypothesis testing is the probability of

A)accepting a true null hypothesis
B)accepting a false null hypothesis
C)rejecting a true null hypothesis
D)None of these alternatives is correct.
Question
The probability of committing a Type I error when the null hypothesis is true is

A)the confidence level
B) β\beta
C)greater than 1
D)the Level of Significance
Question
For a two-tail test, the p-value is the probability of obtaining a value for the test statistic as

A)likely as that provided by the sample
B)unlikely as that provided by the sample
C)likely as that provided by the population
D)unlikely as that provided by the population
Question
It is known that the population variance ( σ\sigma 2) is 144. At 95% confidence, what size sample should be taken so that the margin of error is does not exceed 5 or less?

A)22
B)23
C)24
D)25
Question
The level of significance

A)can be any positive value
B)can be any value
C)is (1 - confidence level)
D)can be any value between -1.96 to 1.96
Question
In order to test the following hypotheses at an α\alpha level of significance H0: μ\mu  <strong>In order to test the following hypotheses at an  \alpha  level of significance H<sub>0</sub>:  \mu    800 H<sub>a</sub>:  \mu  > 800 The null hypothesis will be rejected if the test statistic Z is</strong> A)   Z<sub> \alpha </sub> B)< Z<sub> \alpha </sub> C)< -Z<sub> \alpha </sub> D)=  \alpha  <div style=padding-top: 35px>  800
Ha: μ\mu > 800
The null hypothesis will be rejected if the test statistic Z is

A)  <strong>In order to test the following hypotheses at an  \alpha  level of significance H<sub>0</sub>:  \mu    800 H<sub>a</sub>:  \mu  > 800 The null hypothesis will be rejected if the test statistic Z is</strong> A)   Z<sub> \alpha </sub> B)< Z<sub> \alpha </sub> C)< -Z<sub> \alpha </sub> D)=  \alpha  <div style=padding-top: 35px>  Z α\alpha
B)< Z α\alpha
C)< -Z α\alpha
D)= α\alpha
Question
When the p-value is used for hypothesis testing, the null hypothesis is rejected if

A)p-value  <strong>When the p-value is used for hypothesis testing, the null hypothesis is rejected if</strong> A)p-value    \alpha  B) \alpha  < p-value C)p-value    \alpha  D)p-value = 1 -  \alpha  <div style=padding-top: 35px>  α\alpha
B) α\alpha < p-value
C)p-value  <strong>When the p-value is used for hypothesis testing, the null hypothesis is rejected if</strong> A)p-value    \alpha  B) \alpha  < p-value C)p-value    \alpha  D)p-value = 1 -  \alpha  <div style=padding-top: 35px>  α\alpha
D)p-value = 1 - α\alpha
Question
When the following hypotheses are being tested at a level of significance of α\alpha H0: μ\mu  <strong>When the following hypotheses are being tested at a level of significance of  \alpha  H<sub>0</sub>:  \mu   500 H<sub>a</sub>:  \mu  < 500 The null hypothesis will be rejected if the p-value is</strong> A)   \alpha  B)>  \alpha  C)>  \alpha /2 D)   1 -  \alpha /2 <div style=padding-top: 35px>  500
Ha: μ\mu < 500
The null hypothesis will be rejected if the p-value is

A)  <strong>When the following hypotheses are being tested at a level of significance of  \alpha  H<sub>0</sub>:  \mu   500 H<sub>a</sub>:  \mu  < 500 The null hypothesis will be rejected if the p-value is</strong> A)   \alpha  B)>  \alpha  C)>  \alpha /2 D)   1 -  \alpha /2 <div style=padding-top: 35px>  α\alpha
B)> α\alpha
C)> α\alpha /2
D)  <strong>When the following hypotheses are being tested at a level of significance of  \alpha  H<sub>0</sub>:  \mu   500 H<sub>a</sub>:  \mu  < 500 The null hypothesis will be rejected if the p-value is</strong> A)   \alpha  B)>  \alpha  C)>  \alpha /2 D)   1 -  \alpha /2 <div style=padding-top: 35px>  1 - α\alpha /2
Question
If a hypothesis is rejected at 95% confidence, it

A)will always be accepted at 90% confidence
B)will always be rejected at 90% confidence
C)will sometimes be rejected at 90% confidence
D)None of these alternatives is correct.
Question
In the hypothesis testing procedure, α\alpha is

A)the level of significance
B)the critical value
C)the confidence level
D)1 - level of significance
Question
As the test statistic becomes larger, the p-value

A)gets smaller
B)becomes larger
C)stays the same, since the sample size has not been changed
D)becomes negative
Question
If a hypothesis test leads to the rejection of the null hypothesis,

A)a Type II error must have been committed
B)a Type II error may have been committed
C)a Type I error must have been committed
D)a Type I error may have been committed
Question
If a hypothesis is rejected at the 5% level of significance, it

A)will always be rejected at the 1% level
B)will always be accepted at the 1% level
C)will never be tested at the 1% level
D)may be rejected or not rejected at the 1% level
Question
The probability of making a Type I error is denoted by

A) α\alpha
B) β\beta
C)1 - α\alpha
D)1 - β\beta
Question
The p-value ranges between

A)zero and infinity
B)minus infinity to plus infinity
C)zero to one
D)-1 to +1
Question
Which of the following does not need to be known in order to compute the p-value?

A)knowledge of whether the test is one-tailed or two-tailed
B)the value of the test statistic
C)the level of significance
D)None of these alternatives is correct.
Question
If the level of significance of a hypothesis test is raised from .01 to .05, the probability of a Type II error

A)will also increase from .01 to .05
B)will not change
C)will decrease
D)will increase
Question
For a lower bounds one-tailed test, the test statistic z is determined to be zero. The p-value for this test is

A)zero
B)-0.5
C)+0.5
D)1.00
Question
In hypothesis testing if the null hypothesis has been rejected when the alternative hypothesis has been true,

A)a Type I error has been committed
B)a Type II error has been committed
C)either a Type I or Type II error has been committed
D)the correct decision has been made
Question
In a two-tailed hypothesis test situation, the test statistic is determined to be t = -2.692. The sample size has been 45. The p-value for this test is

A)-0.005
B)+0.005
C)-0.01
D)+0.01
Question
In a lower one-tail hypothesis test situation, the p-value is determined to be 0.2. If the sample size for this test is 51, the t statistic has a value of

A)0.849
B)-0.849
C)1.299
D)-1.299
Question
The probability of making a Type II error is denoted by

A) α\alpha
B) β\beta
C)1 - α\alpha
D)1 - β\beta
Question
If the probability of a Type I error ( α\alpha ) is 0.05, then the probability of a Type II error ( β\beta ) must be

A)0.05
B)0.95
C)0.025
D)None of these alternatives is correct.
Question
If a hypothesis is not rejected at the 5% level of significance, it

A)will also not be rejected at the 1% level
B)will always be rejected at the 1% level
C)will sometimes be rejected at the 1% level
D)None of these alternatives is correct.
Question
Read the Z statistic from the normal distribution table and circle the correct answer. A one-tailed test (upper tail) at 87.7% confidence; Z =

A)1.54
B)1.96
C)1.645
D)1.16
Question
A machine is designed to fill toothpaste tubes with 5.8 ounces of toothpaste. The manufacturer does not want any underfilling or overfilling. The correct hypotheses to be tested are

A) <strong>A machine is designed to fill toothpaste tubes with 5.8 ounces of toothpaste. The manufacturer does not want any underfilling or overfilling. The correct hypotheses to be tested are </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>A machine is designed to fill toothpaste tubes with 5.8 ounces of toothpaste. The manufacturer does not want any underfilling or overfilling. The correct hypotheses to be tested are </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>A machine is designed to fill toothpaste tubes with 5.8 ounces of toothpaste. The manufacturer does not want any underfilling or overfilling. The correct hypotheses to be tested are </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>A machine is designed to fill toothpaste tubes with 5.8 ounces of toothpaste. The manufacturer does not want any underfilling or overfilling. The correct hypotheses to be tested are </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
A two-tailed test is performed at 95% confidence. The p-value is determined to be 0.09. The null hypothesis

A)must be rejected
B)should not be rejected
C)could be rejected, depending on the sample size
D)has been designed incorrectly
Question
In a one-tailed hypothesis test (lower tail) the test statistic is determined to be -2. The p-value for this test is

A)0.4772
B)0.0228
C)0.0056
D)0.5228
Question
For a one-tailed test (upper tail), a sample size of 26 at 90% confidence, t =

A)1.316
B)-1.316
C)-1.740
D)1.740
Question
For a one-tailed test (lower tail), a sample size of 10 at 90% confidence, t =

A)1.383
B)2.821
C)-1.383
D)-2.821
Question
For a one-tailed test (lower tail) at 93.7% confidence, Z =

A)-1.86
B)-1.53
C)-1.96
D)-1.645
Question
The average manufacturing work week in metropolitan Chattanooga was 40.1 hours last year. It is believed that the recession has led to a reduction in the average work week. To test the validity of this belief, the hypotheses are

A) <strong>The average manufacturing work week in metropolitan Chattanooga was 40.1 hours last year. It is believed that the recession has led to a reduction in the average work week. To test the validity of this belief, the hypotheses are </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>The average manufacturing work week in metropolitan Chattanooga was 40.1 hours last year. It is believed that the recession has led to a reduction in the average work week. To test the validity of this belief, the hypotheses are </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>The average manufacturing work week in metropolitan Chattanooga was 40.1 hours last year. It is believed that the recession has led to a reduction in the average work week. To test the validity of this belief, the hypotheses are </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>The average manufacturing work week in metropolitan Chattanooga was 40.1 hours last year. It is believed that the recession has led to a reduction in the average work week. To test the validity of this belief, the hypotheses are </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
The average hourly wage of computer programmers with 2 years of experience has been $21.80. Because of high demand for computer programmers, it is believed there has been a significant increase in the average wage of computer programmers. To test whether or not there has been an increase, the correct hypotheses to be tested are

A) <strong>The average hourly wage of computer programmers with 2 years of experience has been $21.80. Because of high demand for computer programmers, it is believed there has been a significant increase in the average wage of computer programmers. To test whether or not there has been an increase, the correct hypotheses to be tested are </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>The average hourly wage of computer programmers with 2 years of experience has been $21.80. Because of high demand for computer programmers, it is believed there has been a significant increase in the average wage of computer programmers. To test whether or not there has been an increase, the correct hypotheses to be tested are </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>The average hourly wage of computer programmers with 2 years of experience has been $21.80. Because of high demand for computer programmers, it is believed there has been a significant increase in the average wage of computer programmers. To test whether or not there has been an increase, the correct hypotheses to be tested are </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>The average hourly wage of computer programmers with 2 years of experience has been $21.80. Because of high demand for computer programmers, it is believed there has been a significant increase in the average wage of computer programmers. To test whether or not there has been an increase, the correct hypotheses to be tested are </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
The average monthly rent for one-bedroom apartments in Chattanooga has been $700. Because of the downturn in the real estate market, it is believed that there has been a decrease in the average rental. The correct hypotheses to be tested are

A) <strong>The average monthly rent for one-bedroom apartments in Chattanooga has been $700. Because of the downturn in the real estate market, it is believed that there has been a decrease in the average rental. The correct hypotheses to be tested are </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>The average monthly rent for one-bedroom apartments in Chattanooga has been $700. Because of the downturn in the real estate market, it is believed that there has been a decrease in the average rental. The correct hypotheses to be tested are </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>The average monthly rent for one-bedroom apartments in Chattanooga has been $700. Because of the downturn in the real estate market, it is believed that there has been a decrease in the average rental. The correct hypotheses to be tested are </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>The average monthly rent for one-bedroom apartments in Chattanooga has been $700. Because of the downturn in the real estate market, it is believed that there has been a decrease in the average rental. The correct hypotheses to be tested are </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
For a two-tailed test at 98.4% confidence, Z =

A)1.96
B)1.14
C)2.41
D)0.8612
Question
A student believes that the average grade on the final examination in statistics is at least 85. She plans on taking a sample to test her belief. The correct set of hypotheses is

A)H0: μ\mu < 85 Ha: μ\mu  <strong>A student believes that the average grade on the final examination in statistics is at least 85. She plans on taking a sample to test her belief. The correct set of hypotheses is</strong> A)H<sub>0</sub>:  \mu  < 85 H<sub>a</sub>:  \mu   85 B)H<sub>0</sub>:  \mu    85 H<sub>a</sub>:  \mu  > 85 C)H<sub>0</sub>:  \mu    85 H<sub>a</sub>:  \mu  < 85 D)H<sub>0</sub>:  \mu  > 85 H<sub>a</sub>:  \mu   85 <div style=padding-top: 35px>  85
B)H0: μ\mu  <strong>A student believes that the average grade on the final examination in statistics is at least 85. She plans on taking a sample to test her belief. The correct set of hypotheses is</strong> A)H<sub>0</sub>:  \mu  < 85 H<sub>a</sub>:  \mu   85 B)H<sub>0</sub>:  \mu    85 H<sub>a</sub>:  \mu  > 85 C)H<sub>0</sub>:  \mu    85 H<sub>a</sub>:  \mu  < 85 D)H<sub>0</sub>:  \mu  > 85 H<sub>a</sub>:  \mu   85 <div style=padding-top: 35px>  85 Ha: μ\mu > 85
C)H0: μ\mu  <strong>A student believes that the average grade on the final examination in statistics is at least 85. She plans on taking a sample to test her belief. The correct set of hypotheses is</strong> A)H<sub>0</sub>:  \mu  < 85 H<sub>a</sub>:  \mu   85 B)H<sub>0</sub>:  \mu    85 H<sub>a</sub>:  \mu  > 85 C)H<sub>0</sub>:  \mu    85 H<sub>a</sub>:  \mu  < 85 D)H<sub>0</sub>:  \mu  > 85 H<sub>a</sub>:  \mu   85 <div style=padding-top: 35px>  85 Ha: μ\mu < 85
D)H0: μ\mu > 85 Ha: μ\mu  <strong>A student believes that the average grade on the final examination in statistics is at least 85. She plans on taking a sample to test her belief. The correct set of hypotheses is</strong> A)H<sub>0</sub>:  \mu  < 85 H<sub>a</sub>:  \mu   85 B)H<sub>0</sub>:  \mu    85 H<sub>a</sub>:  \mu  > 85 C)H<sub>0</sub>:  \mu    85 H<sub>a</sub>:  \mu  < 85 D)H<sub>0</sub>:  \mu  > 85 H<sub>a</sub>:  \mu   85 <div style=padding-top: 35px>  85
Question
For a one-tailed test (upper tail), a sample size of 18 at 95% confidence, t =

A)2.12
B)-2.12
C)-1.740
D)1.740
Question
For a one-tailed test (lower tail) at 89.8% confidence, Z =

A)-1.27
B)-1.53
C)-1.96
D)-1.64
Question
For a two-tailed test at 86.12% confidence, Z =

A)1.96
B)1.48
C)1.09
D)0.86
Question
For a one-tailed test (upper tail) at 93.7% confidence, Z =

A)1.50
B)1.96
C)1.645
D)1.53
Question
In a two-tailed hypothesis test the test statistic is determined to be Z = -2.5. The p-value for this test is

A)-1.25
B)0.4938
C)0.0062
D)0.0124
Question
For a one-tailed test (lower tail) with 22 degrees of freedom at 95% confidence, the value of t =

A)-1.383
B)1.383
C)-1.717
D)-1.721
Question
For a one-tailed hypothesis test (upper tail) the p-value is computed to be 0.034. If the test is being conducted at 95% confidence, the null hypothesis

A)could be rejected or not rejected depending on the sample size
B)could be rejected or not rejected depending on the value of the mean of the sample
C)is not rejected
D)is rejected
Question
For a two-tailed test, a sample of 20 at 80% confidence, t =

A)1.328
B)2.539
C)1.325
D)2.528
Question
In the past, 75% of the tourists who visited Chattanooga went to see Rock City. The management of Rock City recently undertook an extensive promotional campaign. They are interested in determining whether the promotional campaign actually increased the proportion of tourists visiting Rock City. The correct set of hypotheses is

A)H0: P > 0.75 Ha: P <strong>In the past, 75% of the tourists who visited Chattanooga went to see Rock City. The management of Rock City recently undertook an extensive promotional campaign. They are interested in determining whether the promotional campaign actually increased the proportion of tourists visiting Rock City. The correct set of hypotheses is</strong> A)H<sub>0</sub>: P > 0.75 H<sub>a</sub>: P   0.75 B)H<sub>0</sub>: P < 0.75 H<sub>a</sub>: P   0.75 C)H<sub>0</sub>: P   0.75 H<sub>a</sub>: P < 0.75 D)H<sub>0</sub>: P   0.75 H<sub>a</sub>: P > 0.75 <div style=padding-top: 35px> 0.75
B)H0: P < 0.75 Ha: P <strong>In the past, 75% of the tourists who visited Chattanooga went to see Rock City. The management of Rock City recently undertook an extensive promotional campaign. They are interested in determining whether the promotional campaign actually increased the proportion of tourists visiting Rock City. The correct set of hypotheses is</strong> A)H<sub>0</sub>: P > 0.75 H<sub>a</sub>: P   0.75 B)H<sub>0</sub>: P < 0.75 H<sub>a</sub>: P   0.75 C)H<sub>0</sub>: P   0.75 H<sub>a</sub>: P < 0.75 D)H<sub>0</sub>: P   0.75 H<sub>a</sub>: P > 0.75 <div style=padding-top: 35px> 0.75
C)H0: P <strong>In the past, 75% of the tourists who visited Chattanooga went to see Rock City. The management of Rock City recently undertook an extensive promotional campaign. They are interested in determining whether the promotional campaign actually increased the proportion of tourists visiting Rock City. The correct set of hypotheses is</strong> A)H<sub>0</sub>: P > 0.75 H<sub>a</sub>: P   0.75 B)H<sub>0</sub>: P < 0.75 H<sub>a</sub>: P   0.75 C)H<sub>0</sub>: P   0.75 H<sub>a</sub>: P < 0.75 D)H<sub>0</sub>: P   0.75 H<sub>a</sub>: P > 0.75 <div style=padding-top: 35px> 0.75 Ha: P < 0.75
D)H0: P <strong>In the past, 75% of the tourists who visited Chattanooga went to see Rock City. The management of Rock City recently undertook an extensive promotional campaign. They are interested in determining whether the promotional campaign actually increased the proportion of tourists visiting Rock City. The correct set of hypotheses is</strong> A)H<sub>0</sub>: P > 0.75 H<sub>a</sub>: P   0.75 B)H<sub>0</sub>: P < 0.75 H<sub>a</sub>: P   0.75 C)H<sub>0</sub>: P   0.75 H<sub>a</sub>: P < 0.75 D)H<sub>0</sub>: P   0.75 H<sub>a</sub>: P > 0.75 <div style=padding-top: 35px> 0.75 Ha: P > 0.75
Question
Exhibit 9-2
n = 64  <strong>Exhibit 9-2 n = 64   = 50 s = 16 H<sub>0</sub>:  \mu   54 H<sub>a</sub>:  \mu  < 54  -Refer to Exhibit 9-2. If the test is done at 95% confidence, the null hypothesis should</strong> A)not be rejected B)be rejected C)Not enough information is given to answer this question. D)None of these alternatives is correct. <div style=padding-top: 35px>  = 50
s = 16
H0: μ\mu  <strong>Exhibit 9-2 n = 64   = 50 s = 16 H<sub>0</sub>:  \mu   54 H<sub>a</sub>:  \mu  < 54  -Refer to Exhibit 9-2. If the test is done at 95% confidence, the null hypothesis should</strong> A)not be rejected B)be rejected C)Not enough information is given to answer this question. D)None of these alternatives is correct. <div style=padding-top: 35px>  54
Ha: μ\mu < 54

-Refer to Exhibit 9-2. If the test is done at 95% confidence, the null hypothesis should

A)not be rejected
B)be rejected
C)Not enough information is given to answer this question.
D)None of these alternatives is correct.
Question
The manager of an automobile dealership is considering a new bonus plan in order to increase sales. Currently, the mean sales rate per salesperson is five automobiles per month. The correct set of hypotheses for testing the effect of the bonus plan is

A)H0: μ\mu < 5 Ha: μ\mu  <strong>The manager of an automobile dealership is considering a new bonus plan in order to increase sales. Currently, the mean sales rate per salesperson is five automobiles per month. The correct set of hypotheses for testing the effect of the bonus plan is</strong> A)H<sub>0</sub>:  \mu < 5 H<sub>a</sub>:  \mu   5 B)H<sub>0</sub>:  \mu   5 H<sub>a</sub>:  \mu  > 5 C)H<sub>0</sub>:  \mu  > 5 H<sub>a</sub>:  \mu   5 D)H<sub>0</sub>:  \mu   5 H<sub>a</sub>:  \mu  < 5 <div style=padding-top: 35px>  5
B)H0: μ\mu  <strong>The manager of an automobile dealership is considering a new bonus plan in order to increase sales. Currently, the mean sales rate per salesperson is five automobiles per month. The correct set of hypotheses for testing the effect of the bonus plan is</strong> A)H<sub>0</sub>:  \mu < 5 H<sub>a</sub>:  \mu   5 B)H<sub>0</sub>:  \mu   5 H<sub>a</sub>:  \mu  > 5 C)H<sub>0</sub>:  \mu  > 5 H<sub>a</sub>:  \mu   5 D)H<sub>0</sub>:  \mu   5 H<sub>a</sub>:  \mu  < 5 <div style=padding-top: 35px>  5 Ha: μ\mu > 5
C)H0: μ\mu > 5 Ha: μ\mu  <strong>The manager of an automobile dealership is considering a new bonus plan in order to increase sales. Currently, the mean sales rate per salesperson is five automobiles per month. The correct set of hypotheses for testing the effect of the bonus plan is</strong> A)H<sub>0</sub>:  \mu < 5 H<sub>a</sub>:  \mu   5 B)H<sub>0</sub>:  \mu   5 H<sub>a</sub>:  \mu  > 5 C)H<sub>0</sub>:  \mu  > 5 H<sub>a</sub>:  \mu   5 D)H<sub>0</sub>:  \mu   5 H<sub>a</sub>:  \mu  < 5 <div style=padding-top: 35px>  5
D)H0: μ\mu  <strong>The manager of an automobile dealership is considering a new bonus plan in order to increase sales. Currently, the mean sales rate per salesperson is five automobiles per month. The correct set of hypotheses for testing the effect of the bonus plan is</strong> A)H<sub>0</sub>:  \mu < 5 H<sub>a</sub>:  \mu   5 B)H<sub>0</sub>:  \mu   5 H<sub>a</sub>:  \mu  > 5 C)H<sub>0</sub>:  \mu  > 5 H<sub>a</sub>:  \mu   5 D)H<sub>0</sub>:  \mu   5 H<sub>a</sub>:  \mu  < 5 <div style=padding-top: 35px>  5 Ha: μ\mu < 5
Question
Exhibit 9-3
n = 49  <strong>Exhibit 9-3 n = 49   = 54.8 s = 28 H<sub>0</sub>:  \mu   50 H<sub>a</sub>:  \mu > 50  -Refer to Exhibit 9-3. If the test is done at the 5% level of significance, the null hypothesis should</strong> A)not be rejected B)be rejected C)Not enough information given to answer this question. D)None of these alternatives is correct. <div style=padding-top: 35px>  = 54.8
s = 28
H0: μ\mu  <strong>Exhibit 9-3 n = 49   = 54.8 s = 28 H<sub>0</sub>:  \mu   50 H<sub>a</sub>:  \mu > 50  -Refer to Exhibit 9-3. If the test is done at the 5% level of significance, the null hypothesis should</strong> A)not be rejected B)be rejected C)Not enough information given to answer this question. D)None of these alternatives is correct. <div style=padding-top: 35px>  50
Ha: μ\mu > 50

-Refer to Exhibit 9-3. If the test is done at the 5% level of significance, the null hypothesis should

A)not be rejected
B)be rejected
C)Not enough information given to answer this question.
D)None of these alternatives is correct.
Question
Your investment executive claims that the average yearly rate of return on the stocks she recommends is at least 10.0%. You plan on taking a sample to test her claim. The correct set of hypotheses is

A)H0: μ\mu < 10.0% Ha: μ\mu  <strong>Your investment executive claims that the average yearly rate of return on the stocks she recommends is at least 10.0%. You plan on taking a sample to test her claim. The correct set of hypotheses is</strong> A)H<sub>0</sub>:  \mu  < 10.0% H<sub>a</sub>: \mu    10.0% B)H<sub>0</sub>: \mu    10.0% H<sub>a</sub>:  \mu > 10.0% C)H<sub>0</sub>:  \mu  > 10.0% H<sub>a</sub>:  \mu   10.0% D)H<sub>0</sub>:  \mu   10.0% H<sub>a</sub>:  \mu  < 10.0% <div style=padding-top: 35px>  10.0%
B)H0: μ\mu  <strong>Your investment executive claims that the average yearly rate of return on the stocks she recommends is at least 10.0%. You plan on taking a sample to test her claim. The correct set of hypotheses is</strong> A)H<sub>0</sub>:  \mu  < 10.0% H<sub>a</sub>: \mu    10.0% B)H<sub>0</sub>: \mu    10.0% H<sub>a</sub>:  \mu > 10.0% C)H<sub>0</sub>:  \mu  > 10.0% H<sub>a</sub>:  \mu   10.0% D)H<sub>0</sub>:  \mu   10.0% H<sub>a</sub>:  \mu  < 10.0% <div style=padding-top: 35px>  10.0% Ha: μ\mu > 10.0%
C)H0: μ\mu > 10.0% Ha: μ\mu  <strong>Your investment executive claims that the average yearly rate of return on the stocks she recommends is at least 10.0%. You plan on taking a sample to test her claim. The correct set of hypotheses is</strong> A)H<sub>0</sub>:  \mu  < 10.0% H<sub>a</sub>: \mu    10.0% B)H<sub>0</sub>: \mu    10.0% H<sub>a</sub>:  \mu > 10.0% C)H<sub>0</sub>:  \mu  > 10.0% H<sub>a</sub>:  \mu   10.0% D)H<sub>0</sub>:  \mu   10.0% H<sub>a</sub>:  \mu  < 10.0% <div style=padding-top: 35px>  10.0%
D)H0: μ\mu  <strong>Your investment executive claims that the average yearly rate of return on the stocks she recommends is at least 10.0%. You plan on taking a sample to test her claim. The correct set of hypotheses is</strong> A)H<sub>0</sub>:  \mu  < 10.0% H<sub>a</sub>: \mu    10.0% B)H<sub>0</sub>: \mu    10.0% H<sub>a</sub>:  \mu > 10.0% C)H<sub>0</sub>:  \mu  > 10.0% H<sub>a</sub>:  \mu   10.0% D)H<sub>0</sub>:  \mu   10.0% H<sub>a</sub>:  \mu  < 10.0% <div style=padding-top: 35px>  10.0% Ha: μ\mu < 10.0%
Question
A sample of 1400 items had 280 defective items. For the following hypothesis test, Ho: P = 0.20
Ha: P > 0.20
The test statistic is

A)0.28
B)0.14
C)28%
D)zero
Question
A weatherman stated that the average temperature during July in Chattanooga is 80 degrees or less. A sample of 32 Julys is taken. The correct set of hypotheses is

A)H0: μ\mu  <strong>A weatherman stated that the average temperature during July in Chattanooga is 80 degrees or less. A sample of 32 Julys is taken. The correct set of hypotheses is</strong> A)H<sub>0</sub>:  \mu   80 H<sub>a</sub>:  \mu  < 80 B)H<sub>0</sub>:  \mu   80 H<sub>a</sub>:  \mu > 80 C)H<sub>0</sub>:  \mu   \neq 80 H<sub>a</sub>:  \mu  = 80 D)H<sub>0</sub>:  \mu  < 80 H<sub>a</sub>:  \mu  > 80 <div style=padding-top: 35px>  80 Ha: μ\mu < 80
B)H0: μ\mu  <strong>A weatherman stated that the average temperature during July in Chattanooga is 80 degrees or less. A sample of 32 Julys is taken. The correct set of hypotheses is</strong> A)H<sub>0</sub>:  \mu   80 H<sub>a</sub>:  \mu  < 80 B)H<sub>0</sub>:  \mu   80 H<sub>a</sub>:  \mu > 80 C)H<sub>0</sub>:  \mu   \neq 80 H<sub>a</sub>:  \mu  = 80 D)H<sub>0</sub>:  \mu  < 80 H<sub>a</sub>:  \mu  > 80 <div style=padding-top: 35px>  80 Ha: μ\mu > 80
C)H0: μ\mu \neq 80 Ha: μ\mu = 80
D)H0: μ\mu < 80 Ha: μ\mu > 80
Question
Exhibit 9-3
n = 49  <strong>Exhibit 9-3 n = 49   = 54.8 s = 28 H<sub>0</sub>:  \mu   50 H<sub>a</sub>:  \mu > 50  -Refer to Exhibit 9-3. The p-value is between</strong> A)0.01 to 0.025 B)0.025 to 0.05 C).05 to 0.1 D)0.1 to 0.2 <div style=padding-top: 35px>  = 54.8
s = 28
H0: μ\mu  <strong>Exhibit 9-3 n = 49   = 54.8 s = 28 H<sub>0</sub>:  \mu   50 H<sub>a</sub>:  \mu > 50  -Refer to Exhibit 9-3. The p-value is between</strong> A)0.01 to 0.025 B)0.025 to 0.05 C).05 to 0.1 D)0.1 to 0.2 <div style=padding-top: 35px>  50
Ha: μ\mu > 50

-Refer to Exhibit 9-3. The p-value is between

A)0.01 to 0.025
B)0.025 to 0.05
C).05 to 0.1
D)0.1 to 0.2
Question
The school's newspaper reported that the proportion of students majoring in business is at least 30%. You plan on taking a sample to test the newspaper's claim. The correct set of hypotheses is

A)H0: P < 0.30 Ha: P <strong>The school's newspaper reported that the proportion of students majoring in business is at least 30%. You plan on taking a sample to test the newspaper's claim. The correct set of hypotheses is</strong> A)H<sub>0</sub>: P < 0.30 H<sub>a</sub>: P   0.30 B)H<sub>0</sub>: P   0.30 H<sub>a</sub>: P > 0.30 C)H<sub>0</sub>: P   0.30 H<sub>a</sub>: P < 0.30 D)H<sub>0</sub>: P > 0.30 H<sub>a</sub>: P   0.30 <div style=padding-top: 35px> 0.30
B)H0: P <strong>The school's newspaper reported that the proportion of students majoring in business is at least 30%. You plan on taking a sample to test the newspaper's claim. The correct set of hypotheses is</strong> A)H<sub>0</sub>: P < 0.30 H<sub>a</sub>: P   0.30 B)H<sub>0</sub>: P   0.30 H<sub>a</sub>: P > 0.30 C)H<sub>0</sub>: P   0.30 H<sub>a</sub>: P < 0.30 D)H<sub>0</sub>: P > 0.30 H<sub>a</sub>: P   0.30 <div style=padding-top: 35px> 0.30 Ha: P > 0.30
C)H0: P <strong>The school's newspaper reported that the proportion of students majoring in business is at least 30%. You plan on taking a sample to test the newspaper's claim. The correct set of hypotheses is</strong> A)H<sub>0</sub>: P < 0.30 H<sub>a</sub>: P   0.30 B)H<sub>0</sub>: P   0.30 H<sub>a</sub>: P > 0.30 C)H<sub>0</sub>: P   0.30 H<sub>a</sub>: P < 0.30 D)H<sub>0</sub>: P > 0.30 H<sub>a</sub>: P   0.30 <div style=padding-top: 35px> 0.30 Ha: P < 0.30
D)H0: P > 0.30 Ha: P <strong>The school's newspaper reported that the proportion of students majoring in business is at least 30%. You plan on taking a sample to test the newspaper's claim. The correct set of hypotheses is</strong> A)H<sub>0</sub>: P < 0.30 H<sub>a</sub>: P   0.30 B)H<sub>0</sub>: P   0.30 H<sub>a</sub>: P > 0.30 C)H<sub>0</sub>: P   0.30 H<sub>a</sub>: P < 0.30 D)H<sub>0</sub>: P > 0.30 H<sub>a</sub>: P   0.30 <div style=padding-top: 35px> 0.30
Question
The academic planner of a university thinks that at least 35% of the entire student body attends summer school. The correct set of hypotheses to test his belief is

A)H0: P > 0.35 Ha: P <strong>The academic planner of a university thinks that at least 35% of the entire student body attends summer school. The correct set of hypotheses to test his belief is</strong> A)H<sub>0</sub>: P > 0.35 H<sub>a</sub>: P   0.35 B)H<sub>0</sub>: P   0.35 H<sub>a</sub>: P > 0.35 C)H<sub>0</sub>: P   0.35 H<sub>a</sub>: P < 0.35 D)H<sub>0</sub>: P > 0.35 H<sub>a</sub>: P   0.35 <div style=padding-top: 35px> 0.35
B)H0: P <strong>The academic planner of a university thinks that at least 35% of the entire student body attends summer school. The correct set of hypotheses to test his belief is</strong> A)H<sub>0</sub>: P > 0.35 H<sub>a</sub>: P   0.35 B)H<sub>0</sub>: P   0.35 H<sub>a</sub>: P > 0.35 C)H<sub>0</sub>: P   0.35 H<sub>a</sub>: P < 0.35 D)H<sub>0</sub>: P > 0.35 H<sub>a</sub>: P   0.35 <div style=padding-top: 35px> 0.35 Ha: P > 0.35
C)H0: P <strong>The academic planner of a university thinks that at least 35% of the entire student body attends summer school. The correct set of hypotheses to test his belief is</strong> A)H<sub>0</sub>: P > 0.35 H<sub>a</sub>: P   0.35 B)H<sub>0</sub>: P   0.35 H<sub>a</sub>: P > 0.35 C)H<sub>0</sub>: P   0.35 H<sub>a</sub>: P < 0.35 D)H<sub>0</sub>: P > 0.35 H<sub>a</sub>: P   0.35 <div style=padding-top: 35px> 0.35 Ha: P < 0.35
D)H0: P > 0.35 Ha: P <strong>The academic planner of a university thinks that at least 35% of the entire student body attends summer school. The correct set of hypotheses to test his belief is</strong> A)H<sub>0</sub>: P > 0.35 H<sub>a</sub>: P   0.35 B)H<sub>0</sub>: P   0.35 H<sub>a</sub>: P > 0.35 C)H<sub>0</sub>: P   0.35 H<sub>a</sub>: P < 0.35 D)H<sub>0</sub>: P > 0.35 H<sub>a</sub>: P   0.35 <div style=padding-top: 35px> 0.35
Question
Exhibit 9-3
n = 49  <strong>Exhibit 9-3 n = 49   = 54.8 s = 28 H<sub>0</sub>:  \mu   50 H<sub>a</sub>:  \mu > 50  -Refer to Exhibit 9-3. The test statistic is</strong> A)0.1714 B)0.3849 C)-1.2 D)1.2 <div style=padding-top: 35px>  = 54.8
s = 28
H0: μ\mu  <strong>Exhibit 9-3 n = 49   = 54.8 s = 28 H<sub>0</sub>:  \mu   50 H<sub>a</sub>:  \mu > 50  -Refer to Exhibit 9-3. The test statistic is</strong> A)0.1714 B)0.3849 C)-1.2 D)1.2 <div style=padding-top: 35px>  50
Ha: μ\mu > 50

-Refer to Exhibit 9-3. The test statistic is

A)0.1714
B)0.3849
C)-1.2
D)1.2
Question
Given the following information, the test statistic is n = 49  <strong>Given the following information, the test statistic is n = 49   = 50 S = 7 H<sub>o</sub>:  \mu  > 52 H<sub>a</sub>:  \mu  < 52 The test statistic for the above information is</strong> A)2 B)-2 C)1 D)-1 <div style=padding-top: 35px>  = 50 S = 7 Ho: μ\mu > 52
Ha: μ\mu < 52
The test statistic for the above information is

A)2
B)-2
C)1
D)-1
Question
Exhibit 9-2
n = 64  <strong>Exhibit 9-2 n = 64   = 50 s = 16 H<sub>0</sub>:  \mu   54 H<sub>a</sub>:  \mu  < 54  -Refer to Exhibit 9-2. The test statistic equals</strong> A)-4 B)-3 C)-2 D)-1 <div style=padding-top: 35px>  = 50
s = 16
H0: μ\mu  <strong>Exhibit 9-2 n = 64   = 50 s = 16 H<sub>0</sub>:  \mu   54 H<sub>a</sub>:  \mu  < 54  -Refer to Exhibit 9-2. The test statistic equals</strong> A)-4 B)-3 C)-2 D)-1 <div style=padding-top: 35px>  54
Ha: μ\mu < 54

-Refer to Exhibit 9-2. The test statistic equals

A)-4
B)-3
C)-2
D)-1
Question
A soft drink filling machine, when in perfect adjustment, fills the bottles with 12 ounces of soft drink. Any over filling or under filling results in the shutdown and readjustment of the machine. To determine whether or not the machine is properly adjusted, the correct set of hypotheses is

A)H0: μ\mu < 12 Ha: μ\mu  <strong>A soft drink filling machine, when in perfect adjustment, fills the bottles with 12 ounces of soft drink. Any over filling or under filling results in the shutdown and readjustment of the machine. To determine whether or not the machine is properly adjusted, the correct set of hypotheses is</strong> A)H<sub>0</sub>:  \mu < 12 H<sub>a</sub>:  \mu    12 B)H<sub>0</sub>:  \mu   12 H<sub>a</sub>:  \mu > 12 C)H<sub>0</sub>:  \mu\neq 12 H<sub>a</sub>:  \mu = 12 D)H<sub>0</sub>:  \mu  = 12 H<sub>a</sub>:  \mu\neq 12 <div style=padding-top: 35px>  12
B)H0: μ\mu  <strong>A soft drink filling machine, when in perfect adjustment, fills the bottles with 12 ounces of soft drink. Any over filling or under filling results in the shutdown and readjustment of the machine. To determine whether or not the machine is properly adjusted, the correct set of hypotheses is</strong> A)H<sub>0</sub>:  \mu < 12 H<sub>a</sub>:  \mu    12 B)H<sub>0</sub>:  \mu   12 H<sub>a</sub>:  \mu > 12 C)H<sub>0</sub>:  \mu\neq 12 H<sub>a</sub>:  \mu = 12 D)H<sub>0</sub>:  \mu  = 12 H<sub>a</sub>:  \mu\neq 12 <div style=padding-top: 35px>  12 Ha: μ\mu > 12
C)H0: μ\mu\neq 12 Ha: μ\mu = 12
D)H0: μ\mu = 12 Ha: μ\mu\neq 12
Question
Exhibit 9-1
n = 36  <strong>Exhibit 9-1 n = 36   = 24.6 S = 12 H<sub>0</sub>:  \mu   20 H<sub>a</sub>:  \mu > 20  -Refer to Exhibit 9-1. If the test is done at 95% confidence, the null hypothesis should</strong> A)not be rejected B)be rejected C)Not enough information is given to answer this question. D)None of these alternatives is correct. <div style=padding-top: 35px>  = 24.6
S = 12
H0: μ\mu  <strong>Exhibit 9-1 n = 36   = 24.6 S = 12 H<sub>0</sub>:  \mu   20 H<sub>a</sub>:  \mu > 20  -Refer to Exhibit 9-1. If the test is done at 95% confidence, the null hypothesis should</strong> A)not be rejected B)be rejected C)Not enough information is given to answer this question. D)None of these alternatives is correct. <div style=padding-top: 35px>  20
Ha: μ\mu > 20

-Refer to Exhibit 9-1. If the test is done at 95% confidence, the null hypothesis should

A)not be rejected
B)be rejected
C)Not enough information is given to answer this question.
D)None of these alternatives is correct.
Question
The average life expectancy of tires produced by the Whitney Tire Company has been 40,000 miles. Management believes that due to a new production process, the life expectancy of their tires has increased. In order to test the validity of their belief, the correct set of hypotheses is

A)H0: μ\mu < 40,000 Ha: μ\mu  <strong>The average life expectancy of tires produced by the Whitney Tire Company has been 40,000 miles. Management believes that due to a new production process, the life expectancy of their tires has increased. In order to test the validity of their belief, the correct set of hypotheses is</strong> A)H<sub>0</sub>:  \mu  < 40,000 H<sub>a</sub>:  \mu    40,000 B)H<sub>0</sub>:  \mu   40,000 H<sub>a</sub>:  \mu  > 40,000 C)H<sub>0</sub>:  \mu  > 40,000 H<sub>a</sub>:  \mu   40,000 D)H<sub>0</sub>:  \mu   40,000 H<sub>a</sub>:  \mu  < 40,000 <div style=padding-top: 35px>  40,000
B)H0: μ\mu  <strong>The average life expectancy of tires produced by the Whitney Tire Company has been 40,000 miles. Management believes that due to a new production process, the life expectancy of their tires has increased. In order to test the validity of their belief, the correct set of hypotheses is</strong> A)H<sub>0</sub>:  \mu  < 40,000 H<sub>a</sub>:  \mu    40,000 B)H<sub>0</sub>:  \mu   40,000 H<sub>a</sub>:  \mu  > 40,000 C)H<sub>0</sub>:  \mu  > 40,000 H<sub>a</sub>:  \mu   40,000 D)H<sub>0</sub>:  \mu   40,000 H<sub>a</sub>:  \mu  < 40,000 <div style=padding-top: 35px>  40,000 Ha: μ\mu > 40,000
C)H0: μ\mu > 40,000 Ha: μ\mu  <strong>The average life expectancy of tires produced by the Whitney Tire Company has been 40,000 miles. Management believes that due to a new production process, the life expectancy of their tires has increased. In order to test the validity of their belief, the correct set of hypotheses is</strong> A)H<sub>0</sub>:  \mu  < 40,000 H<sub>a</sub>:  \mu    40,000 B)H<sub>0</sub>:  \mu   40,000 H<sub>a</sub>:  \mu  > 40,000 C)H<sub>0</sub>:  \mu  > 40,000 H<sub>a</sub>:  \mu   40,000 D)H<sub>0</sub>:  \mu   40,000 H<sub>a</sub>:  \mu  < 40,000 <div style=padding-top: 35px>  40,000
D)H0: μ\mu  <strong>The average life expectancy of tires produced by the Whitney Tire Company has been 40,000 miles. Management believes that due to a new production process, the life expectancy of their tires has increased. In order to test the validity of their belief, the correct set of hypotheses is</strong> A)H<sub>0</sub>:  \mu  < 40,000 H<sub>a</sub>:  \mu    40,000 B)H<sub>0</sub>:  \mu   40,000 H<sub>a</sub>:  \mu  > 40,000 C)H<sub>0</sub>:  \mu  > 40,000 H<sub>a</sub>:  \mu   40,000 D)H<sub>0</sub>:  \mu   40,000 H<sub>a</sub>:  \mu  < 40,000 <div style=padding-top: 35px>  40,000 Ha: μ\mu < 40,000
Question
Exhibit 9-2
n = 64  <strong>Exhibit 9-2 n = 64   = 50 s = 16 H<sub>0</sub>:  \mu   54 H<sub>a</sub>:  \mu  < 54  -Refer to Exhibit 9-2. The p-value is between</strong> A).005 to .01 B).01 to .025 C).025 to .05 D).05 to .01 <div style=padding-top: 35px>  = 50
s = 16
H0: μ\mu  <strong>Exhibit 9-2 n = 64   = 50 s = 16 H<sub>0</sub>:  \mu   54 H<sub>a</sub>:  \mu  < 54  -Refer to Exhibit 9-2. The p-value is between</strong> A).005 to .01 B).01 to .025 C).025 to .05 D).05 to .01 <div style=padding-top: 35px>  54
Ha: μ\mu < 54

-Refer to Exhibit 9-2. The p-value is between

A).005 to .01
B).01 to .025
C).025 to .05
D).05 to .01
Question
Exhibit 9-1
n = 36  <strong>Exhibit 9-1 n = 36   = 24.6 S = 12 H<sub>0</sub>:  \mu   20 H<sub>a</sub>:  \mu > 20  -Refer to Exhibit 9-1. The p-value is between</strong> A)0.005 to 0.01 B)0.01 to 0.025 C)0.025 to 0.05 D)0.05 to 0.10 <div style=padding-top: 35px>  = 24.6
S = 12
H0: μ\mu  <strong>Exhibit 9-1 n = 36   = 24.6 S = 12 H<sub>0</sub>:  \mu   20 H<sub>a</sub>:  \mu > 20  -Refer to Exhibit 9-1. The p-value is between</strong> A)0.005 to 0.01 B)0.01 to 0.025 C)0.025 to 0.05 D)0.05 to 0.10 <div style=padding-top: 35px>  20
Ha: μ\mu > 20

-Refer to Exhibit 9-1. The p-value is between

A)0.005 to 0.01
B)0.01 to 0.025
C)0.025 to 0.05
D)0.05 to 0.10
Question
For the following hypothesis test, Ho: μ\mu = 150
Ha: μ\mu < 150
The test statistic

A)must be negative
B)must be positive
C)can be either negative or positive
D)must be a number between zero and 1
Question
Exhibit 9-1
n = 36  <strong>Exhibit 9-1 n = 36   = 24.6 S = 12 H<sub>0</sub>:  \mu   20 H<sub>a</sub>:  \mu > 20  -Refer to Exhibit 9-1. The test statistic is</strong> A)2.3 B)0.38 C)-2.3 D)-0.38 <div style=padding-top: 35px>  = 24.6
S = 12
H0: μ\mu  <strong>Exhibit 9-1 n = 36   = 24.6 S = 12 H<sub>0</sub>:  \mu   20 H<sub>a</sub>:  \mu > 20  -Refer to Exhibit 9-1. The test statistic is</strong> A)2.3 B)0.38 C)-2.3 D)-0.38 <div style=padding-top: 35px>  20
Ha: μ\mu > 20

-Refer to Exhibit 9-1. The test statistic is

A)2.3
B)0.38
C)-2.3
D)-0.38
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Deck 9: Hypothesis Tests
1
The sum of the values of α\alpha and β\beta

A)always add up to 1.0
B)always add up to 0.5
C)is the probability of Type II error
D)none of these alternatives is correct
none of these alternatives is correct
2
In hypothesis testing, the tentative assumption about the population parameter is

A)the alternative hypothesis
B)the null hypothesis
C)either the null or the alternative
D)None of these alternatives is correct.
the null hypothesis
3
A Type II error is committed when

A)a true alternative hypothesis is mistakenly rejected
B)a true null hypothesis is mistakenly rejected
C)the sample size has been too small
D)not enough information has been available
a true alternative hypothesis is mistakenly rejected
4
For a lower tail test, the p-value is the probability of obtaining a value for the test statistic

A)at least as small as that provided by the sample
B)at least as large as that provided by the sample
C)at least as small as that provided by the population
D)at least as large as that provided by the population.
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5
The error of rejecting a true null hypothesis is

A)a Type I error
B)a Type II error
C)is the same as β\beta
D)committed when not enough information is available
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6
In hypothesis testing,

A)the smaller the Type I error, the smaller the Type II error will be
B)the smaller the Type I error, the larger the Type II error will be
C)Type II error will not be effected by Type I error
D)the sum of Type I and Ttype II errors must equal to 1
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7
The p-value is a probability that measures the support (or lack of support) for the

A)null hypothesis
B)alternative hypothesis
C)either the null or the alternative hypothesis
D)sample statistic
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8
The critical value of t for a two tail test with 6 degrees of freedom is

A)2.447
B)1.943
C)2.365
D)1.985
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9
The p-value

A)is the same as the Z statistic
B)measures the number of standard deviations from the mean
C)is a distance
D)is a probability
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10
What type of error occurs if you fail to reject H0 when, in fact, it is not true?

A)Type II
B)Type I
C)either Type I or Type II, depending on the level of significance
D)either Type I or Type II, depending on whether the test is one tail or two tail
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11
The level of significance is the

A)maximum allowable probability of Type II error
B)maximum allowable probability of Type I error
C)same as the confidence coefficient
D)same as the p-value
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12
We are interested in conducting a study in order to determine what percentage of voters in a city would vote for the incumbent mayor. What is the minimum size sample needed to estimate the population proportion with a margin of error not exceeding 4% at 95% confidence?

A)625
B)626
C)600
D)601
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13
The power curve provides the probability of

A)correctly accepting the null hypothesis
B)incorrectly accepting the null hypothesis
C)correctly rejecting the alternative hypothesis
D)correctly rejecting the null hypothesis
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14
The p-value

A)can be any value
B)can be any positive value
C)can be any value, negative or positive
D)must be a number between zero and 1
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15
An assumption made about the value of a population parameter is called a

A)hypothesis
B)conclusion
C)confidence
D)significance
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16
In hypothesis testing if the null hypothesis is rejected,

A)no conclusions can be drawn from the test
B)the alternative hypothesis is true
C)the data must have been accumulated incorrectly
D)the sample size has been too small
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17
The level of significance in hypothesis testing is the probability of

A)accepting a true null hypothesis
B)accepting a false null hypothesis
C)rejecting a true null hypothesis
D)None of these alternatives is correct.
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18
The probability of committing a Type I error when the null hypothesis is true is

A)the confidence level
B) β\beta
C)greater than 1
D)the Level of Significance
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19
For a two-tail test, the p-value is the probability of obtaining a value for the test statistic as

A)likely as that provided by the sample
B)unlikely as that provided by the sample
C)likely as that provided by the population
D)unlikely as that provided by the population
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20
It is known that the population variance ( σ\sigma 2) is 144. At 95% confidence, what size sample should be taken so that the margin of error is does not exceed 5 or less?

A)22
B)23
C)24
D)25
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21
The level of significance

A)can be any positive value
B)can be any value
C)is (1 - confidence level)
D)can be any value between -1.96 to 1.96
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22
In order to test the following hypotheses at an α\alpha level of significance H0: μ\mu  <strong>In order to test the following hypotheses at an  \alpha  level of significance H<sub>0</sub>:  \mu    800 H<sub>a</sub>:  \mu  > 800 The null hypothesis will be rejected if the test statistic Z is</strong> A)   Z<sub> \alpha </sub> B)< Z<sub> \alpha </sub> C)< -Z<sub> \alpha </sub> D)=  \alpha   800
Ha: μ\mu > 800
The null hypothesis will be rejected if the test statistic Z is

A)  <strong>In order to test the following hypotheses at an  \alpha  level of significance H<sub>0</sub>:  \mu    800 H<sub>a</sub>:  \mu  > 800 The null hypothesis will be rejected if the test statistic Z is</strong> A)   Z<sub> \alpha </sub> B)< Z<sub> \alpha </sub> C)< -Z<sub> \alpha </sub> D)=  \alpha   Z α\alpha
B)< Z α\alpha
C)< -Z α\alpha
D)= α\alpha
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23
When the p-value is used for hypothesis testing, the null hypothesis is rejected if

A)p-value  <strong>When the p-value is used for hypothesis testing, the null hypothesis is rejected if</strong> A)p-value    \alpha  B) \alpha  < p-value C)p-value    \alpha  D)p-value = 1 -  \alpha   α\alpha
B) α\alpha < p-value
C)p-value  <strong>When the p-value is used for hypothesis testing, the null hypothesis is rejected if</strong> A)p-value    \alpha  B) \alpha  < p-value C)p-value    \alpha  D)p-value = 1 -  \alpha   α\alpha
D)p-value = 1 - α\alpha
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24
When the following hypotheses are being tested at a level of significance of α\alpha H0: μ\mu  <strong>When the following hypotheses are being tested at a level of significance of  \alpha  H<sub>0</sub>:  \mu   500 H<sub>a</sub>:  \mu  < 500 The null hypothesis will be rejected if the p-value is</strong> A)   \alpha  B)>  \alpha  C)>  \alpha /2 D)   1 -  \alpha /2  500
Ha: μ\mu < 500
The null hypothesis will be rejected if the p-value is

A)  <strong>When the following hypotheses are being tested at a level of significance of  \alpha  H<sub>0</sub>:  \mu   500 H<sub>a</sub>:  \mu  < 500 The null hypothesis will be rejected if the p-value is</strong> A)   \alpha  B)>  \alpha  C)>  \alpha /2 D)   1 -  \alpha /2  α\alpha
B)> α\alpha
C)> α\alpha /2
D)  <strong>When the following hypotheses are being tested at a level of significance of  \alpha  H<sub>0</sub>:  \mu   500 H<sub>a</sub>:  \mu  < 500 The null hypothesis will be rejected if the p-value is</strong> A)   \alpha  B)>  \alpha  C)>  \alpha /2 D)   1 -  \alpha /2  1 - α\alpha /2
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25
If a hypothesis is rejected at 95% confidence, it

A)will always be accepted at 90% confidence
B)will always be rejected at 90% confidence
C)will sometimes be rejected at 90% confidence
D)None of these alternatives is correct.
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26
In the hypothesis testing procedure, α\alpha is

A)the level of significance
B)the critical value
C)the confidence level
D)1 - level of significance
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27
As the test statistic becomes larger, the p-value

A)gets smaller
B)becomes larger
C)stays the same, since the sample size has not been changed
D)becomes negative
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28
If a hypothesis test leads to the rejection of the null hypothesis,

A)a Type II error must have been committed
B)a Type II error may have been committed
C)a Type I error must have been committed
D)a Type I error may have been committed
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29
If a hypothesis is rejected at the 5% level of significance, it

A)will always be rejected at the 1% level
B)will always be accepted at the 1% level
C)will never be tested at the 1% level
D)may be rejected or not rejected at the 1% level
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30
The probability of making a Type I error is denoted by

A) α\alpha
B) β\beta
C)1 - α\alpha
D)1 - β\beta
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31
The p-value ranges between

A)zero and infinity
B)minus infinity to plus infinity
C)zero to one
D)-1 to +1
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32
Which of the following does not need to be known in order to compute the p-value?

A)knowledge of whether the test is one-tailed or two-tailed
B)the value of the test statistic
C)the level of significance
D)None of these alternatives is correct.
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33
If the level of significance of a hypothesis test is raised from .01 to .05, the probability of a Type II error

A)will also increase from .01 to .05
B)will not change
C)will decrease
D)will increase
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34
For a lower bounds one-tailed test, the test statistic z is determined to be zero. The p-value for this test is

A)zero
B)-0.5
C)+0.5
D)1.00
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35
In hypothesis testing if the null hypothesis has been rejected when the alternative hypothesis has been true,

A)a Type I error has been committed
B)a Type II error has been committed
C)either a Type I or Type II error has been committed
D)the correct decision has been made
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36
In a two-tailed hypothesis test situation, the test statistic is determined to be t = -2.692. The sample size has been 45. The p-value for this test is

A)-0.005
B)+0.005
C)-0.01
D)+0.01
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37
In a lower one-tail hypothesis test situation, the p-value is determined to be 0.2. If the sample size for this test is 51, the t statistic has a value of

A)0.849
B)-0.849
C)1.299
D)-1.299
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38
The probability of making a Type II error is denoted by

A) α\alpha
B) β\beta
C)1 - α\alpha
D)1 - β\beta
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39
If the probability of a Type I error ( α\alpha ) is 0.05, then the probability of a Type II error ( β\beta ) must be

A)0.05
B)0.95
C)0.025
D)None of these alternatives is correct.
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40
If a hypothesis is not rejected at the 5% level of significance, it

A)will also not be rejected at the 1% level
B)will always be rejected at the 1% level
C)will sometimes be rejected at the 1% level
D)None of these alternatives is correct.
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41
Read the Z statistic from the normal distribution table and circle the correct answer. A one-tailed test (upper tail) at 87.7% confidence; Z =

A)1.54
B)1.96
C)1.645
D)1.16
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42
A machine is designed to fill toothpaste tubes with 5.8 ounces of toothpaste. The manufacturer does not want any underfilling or overfilling. The correct hypotheses to be tested are

A) <strong>A machine is designed to fill toothpaste tubes with 5.8 ounces of toothpaste. The manufacturer does not want any underfilling or overfilling. The correct hypotheses to be tested are </strong> A)   B)   C)   D)
B) <strong>A machine is designed to fill toothpaste tubes with 5.8 ounces of toothpaste. The manufacturer does not want any underfilling or overfilling. The correct hypotheses to be tested are </strong> A)   B)   C)   D)
C) <strong>A machine is designed to fill toothpaste tubes with 5.8 ounces of toothpaste. The manufacturer does not want any underfilling or overfilling. The correct hypotheses to be tested are </strong> A)   B)   C)   D)
D) <strong>A machine is designed to fill toothpaste tubes with 5.8 ounces of toothpaste. The manufacturer does not want any underfilling or overfilling. The correct hypotheses to be tested are </strong> A)   B)   C)   D)
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43
A two-tailed test is performed at 95% confidence. The p-value is determined to be 0.09. The null hypothesis

A)must be rejected
B)should not be rejected
C)could be rejected, depending on the sample size
D)has been designed incorrectly
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44
In a one-tailed hypothesis test (lower tail) the test statistic is determined to be -2. The p-value for this test is

A)0.4772
B)0.0228
C)0.0056
D)0.5228
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45
For a one-tailed test (upper tail), a sample size of 26 at 90% confidence, t =

A)1.316
B)-1.316
C)-1.740
D)1.740
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46
For a one-tailed test (lower tail), a sample size of 10 at 90% confidence, t =

A)1.383
B)2.821
C)-1.383
D)-2.821
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47
For a one-tailed test (lower tail) at 93.7% confidence, Z =

A)-1.86
B)-1.53
C)-1.96
D)-1.645
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48
The average manufacturing work week in metropolitan Chattanooga was 40.1 hours last year. It is believed that the recession has led to a reduction in the average work week. To test the validity of this belief, the hypotheses are

A) <strong>The average manufacturing work week in metropolitan Chattanooga was 40.1 hours last year. It is believed that the recession has led to a reduction in the average work week. To test the validity of this belief, the hypotheses are </strong> A)   B)   C)   D)
B) <strong>The average manufacturing work week in metropolitan Chattanooga was 40.1 hours last year. It is believed that the recession has led to a reduction in the average work week. To test the validity of this belief, the hypotheses are </strong> A)   B)   C)   D)
C) <strong>The average manufacturing work week in metropolitan Chattanooga was 40.1 hours last year. It is believed that the recession has led to a reduction in the average work week. To test the validity of this belief, the hypotheses are </strong> A)   B)   C)   D)
D) <strong>The average manufacturing work week in metropolitan Chattanooga was 40.1 hours last year. It is believed that the recession has led to a reduction in the average work week. To test the validity of this belief, the hypotheses are </strong> A)   B)   C)   D)
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49
The average hourly wage of computer programmers with 2 years of experience has been $21.80. Because of high demand for computer programmers, it is believed there has been a significant increase in the average wage of computer programmers. To test whether or not there has been an increase, the correct hypotheses to be tested are

A) <strong>The average hourly wage of computer programmers with 2 years of experience has been $21.80. Because of high demand for computer programmers, it is believed there has been a significant increase in the average wage of computer programmers. To test whether or not there has been an increase, the correct hypotheses to be tested are </strong> A)   B)   C)   D)
B) <strong>The average hourly wage of computer programmers with 2 years of experience has been $21.80. Because of high demand for computer programmers, it is believed there has been a significant increase in the average wage of computer programmers. To test whether or not there has been an increase, the correct hypotheses to be tested are </strong> A)   B)   C)   D)
C) <strong>The average hourly wage of computer programmers with 2 years of experience has been $21.80. Because of high demand for computer programmers, it is believed there has been a significant increase in the average wage of computer programmers. To test whether or not there has been an increase, the correct hypotheses to be tested are </strong> A)   B)   C)   D)
D) <strong>The average hourly wage of computer programmers with 2 years of experience has been $21.80. Because of high demand for computer programmers, it is believed there has been a significant increase in the average wage of computer programmers. To test whether or not there has been an increase, the correct hypotheses to be tested are </strong> A)   B)   C)   D)
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50
The average monthly rent for one-bedroom apartments in Chattanooga has been $700. Because of the downturn in the real estate market, it is believed that there has been a decrease in the average rental. The correct hypotheses to be tested are

A) <strong>The average monthly rent for one-bedroom apartments in Chattanooga has been $700. Because of the downturn in the real estate market, it is believed that there has been a decrease in the average rental. The correct hypotheses to be tested are </strong> A)   B)   C)   D)
B) <strong>The average monthly rent for one-bedroom apartments in Chattanooga has been $700. Because of the downturn in the real estate market, it is believed that there has been a decrease in the average rental. The correct hypotheses to be tested are </strong> A)   B)   C)   D)
C) <strong>The average monthly rent for one-bedroom apartments in Chattanooga has been $700. Because of the downturn in the real estate market, it is believed that there has been a decrease in the average rental. The correct hypotheses to be tested are </strong> A)   B)   C)   D)
D) <strong>The average monthly rent for one-bedroom apartments in Chattanooga has been $700. Because of the downturn in the real estate market, it is believed that there has been a decrease in the average rental. The correct hypotheses to be tested are </strong> A)   B)   C)   D)
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51
For a two-tailed test at 98.4% confidence, Z =

A)1.96
B)1.14
C)2.41
D)0.8612
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52
A student believes that the average grade on the final examination in statistics is at least 85. She plans on taking a sample to test her belief. The correct set of hypotheses is

A)H0: μ\mu < 85 Ha: μ\mu  <strong>A student believes that the average grade on the final examination in statistics is at least 85. She plans on taking a sample to test her belief. The correct set of hypotheses is</strong> A)H<sub>0</sub>:  \mu  < 85 H<sub>a</sub>:  \mu   85 B)H<sub>0</sub>:  \mu    85 H<sub>a</sub>:  \mu  > 85 C)H<sub>0</sub>:  \mu    85 H<sub>a</sub>:  \mu  < 85 D)H<sub>0</sub>:  \mu  > 85 H<sub>a</sub>:  \mu   85  85
B)H0: μ\mu  <strong>A student believes that the average grade on the final examination in statistics is at least 85. She plans on taking a sample to test her belief. The correct set of hypotheses is</strong> A)H<sub>0</sub>:  \mu  < 85 H<sub>a</sub>:  \mu   85 B)H<sub>0</sub>:  \mu    85 H<sub>a</sub>:  \mu  > 85 C)H<sub>0</sub>:  \mu    85 H<sub>a</sub>:  \mu  < 85 D)H<sub>0</sub>:  \mu  > 85 H<sub>a</sub>:  \mu   85  85 Ha: μ\mu > 85
C)H0: μ\mu  <strong>A student believes that the average grade on the final examination in statistics is at least 85. She plans on taking a sample to test her belief. The correct set of hypotheses is</strong> A)H<sub>0</sub>:  \mu  < 85 H<sub>a</sub>:  \mu   85 B)H<sub>0</sub>:  \mu    85 H<sub>a</sub>:  \mu  > 85 C)H<sub>0</sub>:  \mu    85 H<sub>a</sub>:  \mu  < 85 D)H<sub>0</sub>:  \mu  > 85 H<sub>a</sub>:  \mu   85  85 Ha: μ\mu < 85
D)H0: μ\mu > 85 Ha: μ\mu  <strong>A student believes that the average grade on the final examination in statistics is at least 85. She plans on taking a sample to test her belief. The correct set of hypotheses is</strong> A)H<sub>0</sub>:  \mu  < 85 H<sub>a</sub>:  \mu   85 B)H<sub>0</sub>:  \mu    85 H<sub>a</sub>:  \mu  > 85 C)H<sub>0</sub>:  \mu    85 H<sub>a</sub>:  \mu  < 85 D)H<sub>0</sub>:  \mu  > 85 H<sub>a</sub>:  \mu   85  85
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53
For a one-tailed test (upper tail), a sample size of 18 at 95% confidence, t =

A)2.12
B)-2.12
C)-1.740
D)1.740
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54
For a one-tailed test (lower tail) at 89.8% confidence, Z =

A)-1.27
B)-1.53
C)-1.96
D)-1.64
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55
For a two-tailed test at 86.12% confidence, Z =

A)1.96
B)1.48
C)1.09
D)0.86
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56
For a one-tailed test (upper tail) at 93.7% confidence, Z =

A)1.50
B)1.96
C)1.645
D)1.53
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57
In a two-tailed hypothesis test the test statistic is determined to be Z = -2.5. The p-value for this test is

A)-1.25
B)0.4938
C)0.0062
D)0.0124
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58
For a one-tailed test (lower tail) with 22 degrees of freedom at 95% confidence, the value of t =

A)-1.383
B)1.383
C)-1.717
D)-1.721
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59
For a one-tailed hypothesis test (upper tail) the p-value is computed to be 0.034. If the test is being conducted at 95% confidence, the null hypothesis

A)could be rejected or not rejected depending on the sample size
B)could be rejected or not rejected depending on the value of the mean of the sample
C)is not rejected
D)is rejected
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60
For a two-tailed test, a sample of 20 at 80% confidence, t =

A)1.328
B)2.539
C)1.325
D)2.528
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61
In the past, 75% of the tourists who visited Chattanooga went to see Rock City. The management of Rock City recently undertook an extensive promotional campaign. They are interested in determining whether the promotional campaign actually increased the proportion of tourists visiting Rock City. The correct set of hypotheses is

A)H0: P > 0.75 Ha: P <strong>In the past, 75% of the tourists who visited Chattanooga went to see Rock City. The management of Rock City recently undertook an extensive promotional campaign. They are interested in determining whether the promotional campaign actually increased the proportion of tourists visiting Rock City. The correct set of hypotheses is</strong> A)H<sub>0</sub>: P > 0.75 H<sub>a</sub>: P   0.75 B)H<sub>0</sub>: P < 0.75 H<sub>a</sub>: P   0.75 C)H<sub>0</sub>: P   0.75 H<sub>a</sub>: P < 0.75 D)H<sub>0</sub>: P   0.75 H<sub>a</sub>: P > 0.75 0.75
B)H0: P < 0.75 Ha: P <strong>In the past, 75% of the tourists who visited Chattanooga went to see Rock City. The management of Rock City recently undertook an extensive promotional campaign. They are interested in determining whether the promotional campaign actually increased the proportion of tourists visiting Rock City. The correct set of hypotheses is</strong> A)H<sub>0</sub>: P > 0.75 H<sub>a</sub>: P   0.75 B)H<sub>0</sub>: P < 0.75 H<sub>a</sub>: P   0.75 C)H<sub>0</sub>: P   0.75 H<sub>a</sub>: P < 0.75 D)H<sub>0</sub>: P   0.75 H<sub>a</sub>: P > 0.75 0.75
C)H0: P <strong>In the past, 75% of the tourists who visited Chattanooga went to see Rock City. The management of Rock City recently undertook an extensive promotional campaign. They are interested in determining whether the promotional campaign actually increased the proportion of tourists visiting Rock City. The correct set of hypotheses is</strong> A)H<sub>0</sub>: P > 0.75 H<sub>a</sub>: P   0.75 B)H<sub>0</sub>: P < 0.75 H<sub>a</sub>: P   0.75 C)H<sub>0</sub>: P   0.75 H<sub>a</sub>: P < 0.75 D)H<sub>0</sub>: P   0.75 H<sub>a</sub>: P > 0.75 0.75 Ha: P < 0.75
D)H0: P <strong>In the past, 75% of the tourists who visited Chattanooga went to see Rock City. The management of Rock City recently undertook an extensive promotional campaign. They are interested in determining whether the promotional campaign actually increased the proportion of tourists visiting Rock City. The correct set of hypotheses is</strong> A)H<sub>0</sub>: P > 0.75 H<sub>a</sub>: P   0.75 B)H<sub>0</sub>: P < 0.75 H<sub>a</sub>: P   0.75 C)H<sub>0</sub>: P   0.75 H<sub>a</sub>: P < 0.75 D)H<sub>0</sub>: P   0.75 H<sub>a</sub>: P > 0.75 0.75 Ha: P > 0.75
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62
Exhibit 9-2
n = 64  <strong>Exhibit 9-2 n = 64   = 50 s = 16 H<sub>0</sub>:  \mu   54 H<sub>a</sub>:  \mu  < 54  -Refer to Exhibit 9-2. If the test is done at 95% confidence, the null hypothesis should</strong> A)not be rejected B)be rejected C)Not enough information is given to answer this question. D)None of these alternatives is correct.  = 50
s = 16
H0: μ\mu  <strong>Exhibit 9-2 n = 64   = 50 s = 16 H<sub>0</sub>:  \mu   54 H<sub>a</sub>:  \mu  < 54  -Refer to Exhibit 9-2. If the test is done at 95% confidence, the null hypothesis should</strong> A)not be rejected B)be rejected C)Not enough information is given to answer this question. D)None of these alternatives is correct.  54
Ha: μ\mu < 54

-Refer to Exhibit 9-2. If the test is done at 95% confidence, the null hypothesis should

A)not be rejected
B)be rejected
C)Not enough information is given to answer this question.
D)None of these alternatives is correct.
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63
The manager of an automobile dealership is considering a new bonus plan in order to increase sales. Currently, the mean sales rate per salesperson is five automobiles per month. The correct set of hypotheses for testing the effect of the bonus plan is

A)H0: μ\mu < 5 Ha: μ\mu  <strong>The manager of an automobile dealership is considering a new bonus plan in order to increase sales. Currently, the mean sales rate per salesperson is five automobiles per month. The correct set of hypotheses for testing the effect of the bonus plan is</strong> A)H<sub>0</sub>:  \mu < 5 H<sub>a</sub>:  \mu   5 B)H<sub>0</sub>:  \mu   5 H<sub>a</sub>:  \mu  > 5 C)H<sub>0</sub>:  \mu  > 5 H<sub>a</sub>:  \mu   5 D)H<sub>0</sub>:  \mu   5 H<sub>a</sub>:  \mu  < 5  5
B)H0: μ\mu  <strong>The manager of an automobile dealership is considering a new bonus plan in order to increase sales. Currently, the mean sales rate per salesperson is five automobiles per month. The correct set of hypotheses for testing the effect of the bonus plan is</strong> A)H<sub>0</sub>:  \mu < 5 H<sub>a</sub>:  \mu   5 B)H<sub>0</sub>:  \mu   5 H<sub>a</sub>:  \mu  > 5 C)H<sub>0</sub>:  \mu  > 5 H<sub>a</sub>:  \mu   5 D)H<sub>0</sub>:  \mu   5 H<sub>a</sub>:  \mu  < 5  5 Ha: μ\mu > 5
C)H0: μ\mu > 5 Ha: μ\mu  <strong>The manager of an automobile dealership is considering a new bonus plan in order to increase sales. Currently, the mean sales rate per salesperson is five automobiles per month. The correct set of hypotheses for testing the effect of the bonus plan is</strong> A)H<sub>0</sub>:  \mu < 5 H<sub>a</sub>:  \mu   5 B)H<sub>0</sub>:  \mu   5 H<sub>a</sub>:  \mu  > 5 C)H<sub>0</sub>:  \mu  > 5 H<sub>a</sub>:  \mu   5 D)H<sub>0</sub>:  \mu   5 H<sub>a</sub>:  \mu  < 5  5
D)H0: μ\mu  <strong>The manager of an automobile dealership is considering a new bonus plan in order to increase sales. Currently, the mean sales rate per salesperson is five automobiles per month. The correct set of hypotheses for testing the effect of the bonus plan is</strong> A)H<sub>0</sub>:  \mu < 5 H<sub>a</sub>:  \mu   5 B)H<sub>0</sub>:  \mu   5 H<sub>a</sub>:  \mu  > 5 C)H<sub>0</sub>:  \mu  > 5 H<sub>a</sub>:  \mu   5 D)H<sub>0</sub>:  \mu   5 H<sub>a</sub>:  \mu  < 5  5 Ha: μ\mu < 5
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64
Exhibit 9-3
n = 49  <strong>Exhibit 9-3 n = 49   = 54.8 s = 28 H<sub>0</sub>:  \mu   50 H<sub>a</sub>:  \mu > 50  -Refer to Exhibit 9-3. If the test is done at the 5% level of significance, the null hypothesis should</strong> A)not be rejected B)be rejected C)Not enough information given to answer this question. D)None of these alternatives is correct.  = 54.8
s = 28
H0: μ\mu  <strong>Exhibit 9-3 n = 49   = 54.8 s = 28 H<sub>0</sub>:  \mu   50 H<sub>a</sub>:  \mu > 50  -Refer to Exhibit 9-3. If the test is done at the 5% level of significance, the null hypothesis should</strong> A)not be rejected B)be rejected C)Not enough information given to answer this question. D)None of these alternatives is correct.  50
Ha: μ\mu > 50

-Refer to Exhibit 9-3. If the test is done at the 5% level of significance, the null hypothesis should

A)not be rejected
B)be rejected
C)Not enough information given to answer this question.
D)None of these alternatives is correct.
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65
Your investment executive claims that the average yearly rate of return on the stocks she recommends is at least 10.0%. You plan on taking a sample to test her claim. The correct set of hypotheses is

A)H0: μ\mu < 10.0% Ha: μ\mu  <strong>Your investment executive claims that the average yearly rate of return on the stocks she recommends is at least 10.0%. You plan on taking a sample to test her claim. The correct set of hypotheses is</strong> A)H<sub>0</sub>:  \mu  < 10.0% H<sub>a</sub>: \mu    10.0% B)H<sub>0</sub>: \mu    10.0% H<sub>a</sub>:  \mu > 10.0% C)H<sub>0</sub>:  \mu  > 10.0% H<sub>a</sub>:  \mu   10.0% D)H<sub>0</sub>:  \mu   10.0% H<sub>a</sub>:  \mu  < 10.0%  10.0%
B)H0: μ\mu  <strong>Your investment executive claims that the average yearly rate of return on the stocks she recommends is at least 10.0%. You plan on taking a sample to test her claim. The correct set of hypotheses is</strong> A)H<sub>0</sub>:  \mu  < 10.0% H<sub>a</sub>: \mu    10.0% B)H<sub>0</sub>: \mu    10.0% H<sub>a</sub>:  \mu > 10.0% C)H<sub>0</sub>:  \mu  > 10.0% H<sub>a</sub>:  \mu   10.0% D)H<sub>0</sub>:  \mu   10.0% H<sub>a</sub>:  \mu  < 10.0%  10.0% Ha: μ\mu > 10.0%
C)H0: μ\mu > 10.0% Ha: μ\mu  <strong>Your investment executive claims that the average yearly rate of return on the stocks she recommends is at least 10.0%. You plan on taking a sample to test her claim. The correct set of hypotheses is</strong> A)H<sub>0</sub>:  \mu  < 10.0% H<sub>a</sub>: \mu    10.0% B)H<sub>0</sub>: \mu    10.0% H<sub>a</sub>:  \mu > 10.0% C)H<sub>0</sub>:  \mu  > 10.0% H<sub>a</sub>:  \mu   10.0% D)H<sub>0</sub>:  \mu   10.0% H<sub>a</sub>:  \mu  < 10.0%  10.0%
D)H0: μ\mu  <strong>Your investment executive claims that the average yearly rate of return on the stocks she recommends is at least 10.0%. You plan on taking a sample to test her claim. The correct set of hypotheses is</strong> A)H<sub>0</sub>:  \mu  < 10.0% H<sub>a</sub>: \mu    10.0% B)H<sub>0</sub>: \mu    10.0% H<sub>a</sub>:  \mu > 10.0% C)H<sub>0</sub>:  \mu  > 10.0% H<sub>a</sub>:  \mu   10.0% D)H<sub>0</sub>:  \mu   10.0% H<sub>a</sub>:  \mu  < 10.0%  10.0% Ha: μ\mu < 10.0%
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66
A sample of 1400 items had 280 defective items. For the following hypothesis test, Ho: P = 0.20
Ha: P > 0.20
The test statistic is

A)0.28
B)0.14
C)28%
D)zero
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67
A weatherman stated that the average temperature during July in Chattanooga is 80 degrees or less. A sample of 32 Julys is taken. The correct set of hypotheses is

A)H0: μ\mu  <strong>A weatherman stated that the average temperature during July in Chattanooga is 80 degrees or less. A sample of 32 Julys is taken. The correct set of hypotheses is</strong> A)H<sub>0</sub>:  \mu   80 H<sub>a</sub>:  \mu  < 80 B)H<sub>0</sub>:  \mu   80 H<sub>a</sub>:  \mu > 80 C)H<sub>0</sub>:  \mu   \neq 80 H<sub>a</sub>:  \mu  = 80 D)H<sub>0</sub>:  \mu  < 80 H<sub>a</sub>:  \mu  > 80  80 Ha: μ\mu < 80
B)H0: μ\mu  <strong>A weatherman stated that the average temperature during July in Chattanooga is 80 degrees or less. A sample of 32 Julys is taken. The correct set of hypotheses is</strong> A)H<sub>0</sub>:  \mu   80 H<sub>a</sub>:  \mu  < 80 B)H<sub>0</sub>:  \mu   80 H<sub>a</sub>:  \mu > 80 C)H<sub>0</sub>:  \mu   \neq 80 H<sub>a</sub>:  \mu  = 80 D)H<sub>0</sub>:  \mu  < 80 H<sub>a</sub>:  \mu  > 80  80 Ha: μ\mu > 80
C)H0: μ\mu \neq 80 Ha: μ\mu = 80
D)H0: μ\mu < 80 Ha: μ\mu > 80
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68
Exhibit 9-3
n = 49  <strong>Exhibit 9-3 n = 49   = 54.8 s = 28 H<sub>0</sub>:  \mu   50 H<sub>a</sub>:  \mu > 50  -Refer to Exhibit 9-3. The p-value is between</strong> A)0.01 to 0.025 B)0.025 to 0.05 C).05 to 0.1 D)0.1 to 0.2  = 54.8
s = 28
H0: μ\mu  <strong>Exhibit 9-3 n = 49   = 54.8 s = 28 H<sub>0</sub>:  \mu   50 H<sub>a</sub>:  \mu > 50  -Refer to Exhibit 9-3. The p-value is between</strong> A)0.01 to 0.025 B)0.025 to 0.05 C).05 to 0.1 D)0.1 to 0.2  50
Ha: μ\mu > 50

-Refer to Exhibit 9-3. The p-value is between

A)0.01 to 0.025
B)0.025 to 0.05
C).05 to 0.1
D)0.1 to 0.2
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69
The school's newspaper reported that the proportion of students majoring in business is at least 30%. You plan on taking a sample to test the newspaper's claim. The correct set of hypotheses is

A)H0: P < 0.30 Ha: P <strong>The school's newspaper reported that the proportion of students majoring in business is at least 30%. You plan on taking a sample to test the newspaper's claim. The correct set of hypotheses is</strong> A)H<sub>0</sub>: P < 0.30 H<sub>a</sub>: P   0.30 B)H<sub>0</sub>: P   0.30 H<sub>a</sub>: P > 0.30 C)H<sub>0</sub>: P   0.30 H<sub>a</sub>: P < 0.30 D)H<sub>0</sub>: P > 0.30 H<sub>a</sub>: P   0.30 0.30
B)H0: P <strong>The school's newspaper reported that the proportion of students majoring in business is at least 30%. You plan on taking a sample to test the newspaper's claim. The correct set of hypotheses is</strong> A)H<sub>0</sub>: P < 0.30 H<sub>a</sub>: P   0.30 B)H<sub>0</sub>: P   0.30 H<sub>a</sub>: P > 0.30 C)H<sub>0</sub>: P   0.30 H<sub>a</sub>: P < 0.30 D)H<sub>0</sub>: P > 0.30 H<sub>a</sub>: P   0.30 0.30 Ha: P > 0.30
C)H0: P <strong>The school's newspaper reported that the proportion of students majoring in business is at least 30%. You plan on taking a sample to test the newspaper's claim. The correct set of hypotheses is</strong> A)H<sub>0</sub>: P < 0.30 H<sub>a</sub>: P   0.30 B)H<sub>0</sub>: P   0.30 H<sub>a</sub>: P > 0.30 C)H<sub>0</sub>: P   0.30 H<sub>a</sub>: P < 0.30 D)H<sub>0</sub>: P > 0.30 H<sub>a</sub>: P   0.30 0.30 Ha: P < 0.30
D)H0: P > 0.30 Ha: P <strong>The school's newspaper reported that the proportion of students majoring in business is at least 30%. You plan on taking a sample to test the newspaper's claim. The correct set of hypotheses is</strong> A)H<sub>0</sub>: P < 0.30 H<sub>a</sub>: P   0.30 B)H<sub>0</sub>: P   0.30 H<sub>a</sub>: P > 0.30 C)H<sub>0</sub>: P   0.30 H<sub>a</sub>: P < 0.30 D)H<sub>0</sub>: P > 0.30 H<sub>a</sub>: P   0.30 0.30
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70
The academic planner of a university thinks that at least 35% of the entire student body attends summer school. The correct set of hypotheses to test his belief is

A)H0: P > 0.35 Ha: P <strong>The academic planner of a university thinks that at least 35% of the entire student body attends summer school. The correct set of hypotheses to test his belief is</strong> A)H<sub>0</sub>: P > 0.35 H<sub>a</sub>: P   0.35 B)H<sub>0</sub>: P   0.35 H<sub>a</sub>: P > 0.35 C)H<sub>0</sub>: P   0.35 H<sub>a</sub>: P < 0.35 D)H<sub>0</sub>: P > 0.35 H<sub>a</sub>: P   0.35 0.35
B)H0: P <strong>The academic planner of a university thinks that at least 35% of the entire student body attends summer school. The correct set of hypotheses to test his belief is</strong> A)H<sub>0</sub>: P > 0.35 H<sub>a</sub>: P   0.35 B)H<sub>0</sub>: P   0.35 H<sub>a</sub>: P > 0.35 C)H<sub>0</sub>: P   0.35 H<sub>a</sub>: P < 0.35 D)H<sub>0</sub>: P > 0.35 H<sub>a</sub>: P   0.35 0.35 Ha: P > 0.35
C)H0: P <strong>The academic planner of a university thinks that at least 35% of the entire student body attends summer school. The correct set of hypotheses to test his belief is</strong> A)H<sub>0</sub>: P > 0.35 H<sub>a</sub>: P   0.35 B)H<sub>0</sub>: P   0.35 H<sub>a</sub>: P > 0.35 C)H<sub>0</sub>: P   0.35 H<sub>a</sub>: P < 0.35 D)H<sub>0</sub>: P > 0.35 H<sub>a</sub>: P   0.35 0.35 Ha: P < 0.35
D)H0: P > 0.35 Ha: P <strong>The academic planner of a university thinks that at least 35% of the entire student body attends summer school. The correct set of hypotheses to test his belief is</strong> A)H<sub>0</sub>: P > 0.35 H<sub>a</sub>: P   0.35 B)H<sub>0</sub>: P   0.35 H<sub>a</sub>: P > 0.35 C)H<sub>0</sub>: P   0.35 H<sub>a</sub>: P < 0.35 D)H<sub>0</sub>: P > 0.35 H<sub>a</sub>: P   0.35 0.35
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71
Exhibit 9-3
n = 49  <strong>Exhibit 9-3 n = 49   = 54.8 s = 28 H<sub>0</sub>:  \mu   50 H<sub>a</sub>:  \mu > 50  -Refer to Exhibit 9-3. The test statistic is</strong> A)0.1714 B)0.3849 C)-1.2 D)1.2  = 54.8
s = 28
H0: μ\mu  <strong>Exhibit 9-3 n = 49   = 54.8 s = 28 H<sub>0</sub>:  \mu   50 H<sub>a</sub>:  \mu > 50  -Refer to Exhibit 9-3. The test statistic is</strong> A)0.1714 B)0.3849 C)-1.2 D)1.2  50
Ha: μ\mu > 50

-Refer to Exhibit 9-3. The test statistic is

A)0.1714
B)0.3849
C)-1.2
D)1.2
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72
Given the following information, the test statistic is n = 49  <strong>Given the following information, the test statistic is n = 49   = 50 S = 7 H<sub>o</sub>:  \mu  > 52 H<sub>a</sub>:  \mu  < 52 The test statistic for the above information is</strong> A)2 B)-2 C)1 D)-1  = 50 S = 7 Ho: μ\mu > 52
Ha: μ\mu < 52
The test statistic for the above information is

A)2
B)-2
C)1
D)-1
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73
Exhibit 9-2
n = 64  <strong>Exhibit 9-2 n = 64   = 50 s = 16 H<sub>0</sub>:  \mu   54 H<sub>a</sub>:  \mu  < 54  -Refer to Exhibit 9-2. The test statistic equals</strong> A)-4 B)-3 C)-2 D)-1  = 50
s = 16
H0: μ\mu  <strong>Exhibit 9-2 n = 64   = 50 s = 16 H<sub>0</sub>:  \mu   54 H<sub>a</sub>:  \mu  < 54  -Refer to Exhibit 9-2. The test statistic equals</strong> A)-4 B)-3 C)-2 D)-1  54
Ha: μ\mu < 54

-Refer to Exhibit 9-2. The test statistic equals

A)-4
B)-3
C)-2
D)-1
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74
A soft drink filling machine, when in perfect adjustment, fills the bottles with 12 ounces of soft drink. Any over filling or under filling results in the shutdown and readjustment of the machine. To determine whether or not the machine is properly adjusted, the correct set of hypotheses is

A)H0: μ\mu < 12 Ha: μ\mu  <strong>A soft drink filling machine, when in perfect adjustment, fills the bottles with 12 ounces of soft drink. Any over filling or under filling results in the shutdown and readjustment of the machine. To determine whether or not the machine is properly adjusted, the correct set of hypotheses is</strong> A)H<sub>0</sub>:  \mu < 12 H<sub>a</sub>:  \mu    12 B)H<sub>0</sub>:  \mu   12 H<sub>a</sub>:  \mu > 12 C)H<sub>0</sub>:  \mu\neq 12 H<sub>a</sub>:  \mu = 12 D)H<sub>0</sub>:  \mu  = 12 H<sub>a</sub>:  \mu\neq 12  12
B)H0: μ\mu  <strong>A soft drink filling machine, when in perfect adjustment, fills the bottles with 12 ounces of soft drink. Any over filling or under filling results in the shutdown and readjustment of the machine. To determine whether or not the machine is properly adjusted, the correct set of hypotheses is</strong> A)H<sub>0</sub>:  \mu < 12 H<sub>a</sub>:  \mu    12 B)H<sub>0</sub>:  \mu   12 H<sub>a</sub>:  \mu > 12 C)H<sub>0</sub>:  \mu\neq 12 H<sub>a</sub>:  \mu = 12 D)H<sub>0</sub>:  \mu  = 12 H<sub>a</sub>:  \mu\neq 12  12 Ha: μ\mu > 12
C)H0: μ\mu\neq 12 Ha: μ\mu = 12
D)H0: μ\mu = 12 Ha: μ\mu\neq 12
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75
Exhibit 9-1
n = 36  <strong>Exhibit 9-1 n = 36   = 24.6 S = 12 H<sub>0</sub>:  \mu   20 H<sub>a</sub>:  \mu > 20  -Refer to Exhibit 9-1. If the test is done at 95% confidence, the null hypothesis should</strong> A)not be rejected B)be rejected C)Not enough information is given to answer this question. D)None of these alternatives is correct.  = 24.6
S = 12
H0: μ\mu  <strong>Exhibit 9-1 n = 36   = 24.6 S = 12 H<sub>0</sub>:  \mu   20 H<sub>a</sub>:  \mu > 20  -Refer to Exhibit 9-1. If the test is done at 95% confidence, the null hypothesis should</strong> A)not be rejected B)be rejected C)Not enough information is given to answer this question. D)None of these alternatives is correct.  20
Ha: μ\mu > 20

-Refer to Exhibit 9-1. If the test is done at 95% confidence, the null hypothesis should

A)not be rejected
B)be rejected
C)Not enough information is given to answer this question.
D)None of these alternatives is correct.
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76
The average life expectancy of tires produced by the Whitney Tire Company has been 40,000 miles. Management believes that due to a new production process, the life expectancy of their tires has increased. In order to test the validity of their belief, the correct set of hypotheses is

A)H0: μ\mu < 40,000 Ha: μ\mu  <strong>The average life expectancy of tires produced by the Whitney Tire Company has been 40,000 miles. Management believes that due to a new production process, the life expectancy of their tires has increased. In order to test the validity of their belief, the correct set of hypotheses is</strong> A)H<sub>0</sub>:  \mu  < 40,000 H<sub>a</sub>:  \mu    40,000 B)H<sub>0</sub>:  \mu   40,000 H<sub>a</sub>:  \mu  > 40,000 C)H<sub>0</sub>:  \mu  > 40,000 H<sub>a</sub>:  \mu   40,000 D)H<sub>0</sub>:  \mu   40,000 H<sub>a</sub>:  \mu  < 40,000  40,000
B)H0: μ\mu  <strong>The average life expectancy of tires produced by the Whitney Tire Company has been 40,000 miles. Management believes that due to a new production process, the life expectancy of their tires has increased. In order to test the validity of their belief, the correct set of hypotheses is</strong> A)H<sub>0</sub>:  \mu  < 40,000 H<sub>a</sub>:  \mu    40,000 B)H<sub>0</sub>:  \mu   40,000 H<sub>a</sub>:  \mu  > 40,000 C)H<sub>0</sub>:  \mu  > 40,000 H<sub>a</sub>:  \mu   40,000 D)H<sub>0</sub>:  \mu   40,000 H<sub>a</sub>:  \mu  < 40,000  40,000 Ha: μ\mu > 40,000
C)H0: μ\mu > 40,000 Ha: μ\mu  <strong>The average life expectancy of tires produced by the Whitney Tire Company has been 40,000 miles. Management believes that due to a new production process, the life expectancy of their tires has increased. In order to test the validity of their belief, the correct set of hypotheses is</strong> A)H<sub>0</sub>:  \mu  < 40,000 H<sub>a</sub>:  \mu    40,000 B)H<sub>0</sub>:  \mu   40,000 H<sub>a</sub>:  \mu  > 40,000 C)H<sub>0</sub>:  \mu  > 40,000 H<sub>a</sub>:  \mu   40,000 D)H<sub>0</sub>:  \mu   40,000 H<sub>a</sub>:  \mu  < 40,000  40,000
D)H0: μ\mu  <strong>The average life expectancy of tires produced by the Whitney Tire Company has been 40,000 miles. Management believes that due to a new production process, the life expectancy of their tires has increased. In order to test the validity of their belief, the correct set of hypotheses is</strong> A)H<sub>0</sub>:  \mu  < 40,000 H<sub>a</sub>:  \mu    40,000 B)H<sub>0</sub>:  \mu   40,000 H<sub>a</sub>:  \mu  > 40,000 C)H<sub>0</sub>:  \mu  > 40,000 H<sub>a</sub>:  \mu   40,000 D)H<sub>0</sub>:  \mu   40,000 H<sub>a</sub>:  \mu  < 40,000  40,000 Ha: μ\mu < 40,000
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77
Exhibit 9-2
n = 64  <strong>Exhibit 9-2 n = 64   = 50 s = 16 H<sub>0</sub>:  \mu   54 H<sub>a</sub>:  \mu  < 54  -Refer to Exhibit 9-2. The p-value is between</strong> A).005 to .01 B).01 to .025 C).025 to .05 D).05 to .01  = 50
s = 16
H0: μ\mu  <strong>Exhibit 9-2 n = 64   = 50 s = 16 H<sub>0</sub>:  \mu   54 H<sub>a</sub>:  \mu  < 54  -Refer to Exhibit 9-2. The p-value is between</strong> A).005 to .01 B).01 to .025 C).025 to .05 D).05 to .01  54
Ha: μ\mu < 54

-Refer to Exhibit 9-2. The p-value is between

A).005 to .01
B).01 to .025
C).025 to .05
D).05 to .01
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78
Exhibit 9-1
n = 36  <strong>Exhibit 9-1 n = 36   = 24.6 S = 12 H<sub>0</sub>:  \mu   20 H<sub>a</sub>:  \mu > 20  -Refer to Exhibit 9-1. The p-value is between</strong> A)0.005 to 0.01 B)0.01 to 0.025 C)0.025 to 0.05 D)0.05 to 0.10  = 24.6
S = 12
H0: μ\mu  <strong>Exhibit 9-1 n = 36   = 24.6 S = 12 H<sub>0</sub>:  \mu   20 H<sub>a</sub>:  \mu > 20  -Refer to Exhibit 9-1. The p-value is between</strong> A)0.005 to 0.01 B)0.01 to 0.025 C)0.025 to 0.05 D)0.05 to 0.10  20
Ha: μ\mu > 20

-Refer to Exhibit 9-1. The p-value is between

A)0.005 to 0.01
B)0.01 to 0.025
C)0.025 to 0.05
D)0.05 to 0.10
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79
For the following hypothesis test, Ho: μ\mu = 150
Ha: μ\mu < 150
The test statistic

A)must be negative
B)must be positive
C)can be either negative or positive
D)must be a number between zero and 1
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80
Exhibit 9-1
n = 36  <strong>Exhibit 9-1 n = 36   = 24.6 S = 12 H<sub>0</sub>:  \mu   20 H<sub>a</sub>:  \mu > 20  -Refer to Exhibit 9-1. The test statistic is</strong> A)2.3 B)0.38 C)-2.3 D)-0.38  = 24.6
S = 12
H0: μ\mu  <strong>Exhibit 9-1 n = 36   = 24.6 S = 12 H<sub>0</sub>:  \mu   20 H<sub>a</sub>:  \mu > 20  -Refer to Exhibit 9-1. The test statistic is</strong> A)2.3 B)0.38 C)-2.3 D)-0.38  20
Ha: μ\mu > 20

-Refer to Exhibit 9-1. The test statistic is

A)2.3
B)0.38
C)-2.3
D)-0.38
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